Speaker
Peter Elmer
(Princeton University (US))
Description
This presentation will introduce the Data Intensive ANAlysis
(DIANA/HEP) project. The primary goal of DIANA/HEP is to develop
state-of-the-art tools for experiments which acquire, reduce, and
analyze petabytes of data. Improving performance, interoperability,
and collaborative tools through modifications and additions to ROOT,
its ecosystem and other packages broadly used by the community will
allow users to more fully exploit the data being acquired at CERN's Large
Hadron Collider (LHC) and other facilities.
As part of the U.S. National Science Foundation (NSF) Software
Infrastructure for Sustained Innovation (SI2) program, DIANA is
concerned with the overarching goal of transforming innovations in
research and education into sustained software resources that are
an integral part of the cyberinfrastructure. Up-to-date information
on the project can on the project website (http://diana-hep.org).
Author
Peter Elmer
(Princeton University (US))
Co-authors
Brian Paul Bockelman
(University of Nebraska (US))
Kyle Stuart Cranmer
(New York University (US))
Michael Sokoloff
(University of Cincinnati)
